def make_heatmap_for_major_players(taxa_dict, make_svg_too):
# load the whole data set.
data_reduced = load_data()
# Make plot w/ default settings
abundance_plot_utils.heatmap_from_taxa_dict(
dataframe = data_reduced,
taxa_dict = taxa_dict,
facet = 'rep',
annotate = False,
main_dir=MAIN_DIR,
plot_dir='./plots/',
svg=make_svg_too,
size_spec=False, aspect_spec=False)
def make_heatmap_for_predators(taxa_dict, make_svg_too):
# same as for major players, but exclude "other" from heat map.
# load the whole data set.
data_reduced = load_data()
# Make plot w/ default settings
abundance_plot_utils.heatmap_from_taxa_dict(
dataframe = data_reduced,
taxa_dict = taxa_dict,
facet = 'rep',
annotate = False,
main_dir=MAIN_DIR,
plot_dir='./plots/',
size_spec=False, aspect_spec=False,
svg=make_svg_too,
summarise_other=False) #<--- how to keep the "other" bar off.
def make_heatmap_for_particular_family_with_other(family,
taxa_dict,
make_svg_too):
# for Methylococcaceae, which we want an "other" bar
# Load all the data
data_reduced = load_data()
# Trim the dataframe to only that family:
data_for_family = data_reduced[data_reduced['Family']==family]
# Generate this plot for the subset of data pertaining to that family:
abundance_plot_utils.heatmap_from_taxa_dict(
dataframe = data_for_family,
taxa_dict = taxa_dict,
facet = 'rep',
annotate = False,
main_dir=MAIN_DIR,
plot_dir='./plots/',
size_spec=False, aspect_spec=False,
summarise_other=True, # <-- want an "other" bar for the family.
svg=make_svg_too,
check_totals_sum_to_1=False) # <-- don't expect col totals to be 1
